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cs.LG2025
Staying on the Manifold: Geometry-Aware Noise Injection
Albert Kjøller Jacobsen, Johanna Marie Gegenfurtner, Georgios Arvanitidis
It has been shown that perturbing the input during training implicitly regularises the gradient of the learnt function, leading to smoother models and enhancing generalisation. How…
cs.LG2025
Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry
Albert Kjøller Jacobsen, Georgios Arvanitidis
Recent studies on deep neural networks show that flat minima of the loss landscape correlate with improved generalization. Sharpness-aware minimization (SAM) efficiently finds flat…